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There s the missing piece of information: if retention is specified, then LOB$.FLAGS, which is obviously a bit vector, is incremented by 32. So the bit that represents 25 is set if RETENTION is used. Leveraging our finding, we can write the following query, which uses the function BITAND to detect whether RETENTION is enabled: SQL> SELECT owner, object name, CASE WHEN bitand(l.flags, 32)=0 THEN l.pctversion$ ELSE NULL END AS pctversion, CASE WHEN bitand(l.flags, 32)=32 THEN l.retention ELSE NULL END AS retention FROM sys.lob$ l, dba objects o WHERE l.lobj#=o.object id AND o.object type='LOB' AND OWNER='NDEBES'; OWNER OBJECT NAME PCTVERSION RETENTION ------------------------------ -------------------- ---------- ---------NDEBES BLOG IMG BLOB 10 NDEBES BLOG TEXT CLOB 10800 The result of this query is in line with the CREATE TABLE statement executed earlier. Direct access to the dictionary base table SYS.LOB$ resolved the issue.

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This simply tells GORM that the table is named todo_tbl. That was easy enough. Now, let s update the column names. Because a table can have multiple columns, column names are grouped together under one subblock in the mapping. Change the name of the name and note to name_str and note_str. This naming convention is somewhat common for DBAs, who like to see the column type simply by glancing at the column name. To do this, add the following code to the mapping:

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There s another reason, too: the iterative versions are often based on a specially constructed cache, rather than the generic dict keyed by parameter tuples used in my @memo This means that you can sometimes use more efficient structures, such as the multidimensional arrays of NumPy, perhaps combined with Cython (see Appendix A), or even just nested lists This custom cache design is what makes it possible to do use DP in more low-level languages Note that even though these two techniques often go hand in hand, you are certainly free to use an iterative solution with a more generic cache or a recursive one with a tailored structure for your subproblem solutions Let s reverse our algorithm, filling out Pascal s triangle directly To keep things simple, I ll use a defaultdict as the cache; feel free to use nested lists, for example (See also Exercise 8-4.

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FROM hremployees emp, hrdepartments d WHERE empdepartment id=ddepartment id AND ddepartment id=:dept id AND empemployee id=:emp id AND first name=:fn; PL/SQL procedure successfully completed In release 11107, the preceding equi-join results in the following trace file entries (excerpt): PARSING IN CURSOR #2 len=201 dep=0 uid=32 oct=3 lid=32 tim=1000634574600 hv=3363518900 ad='1d7f9688' sqlid='9w4xfcb47qfdn' SELECT elast name, efirst name, ddepartment name FROM hremployees e, hrdepartments d WHERE edepartment id=ddepartment id AND ddepartment id=:dept id AND e.

columns { name column:'name_str' note column:'note_str' }

) >>> >>> >>> >>> .. .. .. .. >>> 120 from collections import defaultdict n, k = 10, 7 C = defaultdict(int) for row in range(n+1): C[row,0] = 1 for col in range(1,k+1): C[row,col] = C[row-1,col-1] + C[row-1,col] C[n,k].

employee id=:emp id AND first name=:fn END OF STMT PARSE #2:c=0,e=0,p=0,cr=0,cu=0,mis=1,r=0,dep=0,og=1,plh=0,tim=1000634574600 EXEC #2:c=0,e=0,p=0,cr=0,cu=0,mis=1,r=0,dep=0,og=1,plh=4225575861,tim=1000634574600 FETCH #2:c=0,e=0,p=0,cr=4,cu=0,mis=0,r=1,dep=0,og=1,plh=4225575861,tim=1000634574600 STAT #2 id=1 cnt=1 pid=0 pos=1 obj=0 op='NESTED LOOPS (cr=4 pr=0 pw=0 time=0 us cost =2 size=38 card=1)' STAT #2 id=2 cnt=1 pid=1 pos=1 obj=19136 op='TABLE ACCESS BY INDEX ROWID DEPARTMENTS (cr=2 pr=0 pw=0 time=0 us cost=1 size=16 card=1)' STAT #2 id=3 cnt=1 pid=2 pos=1 obj=19137 op='INDEX UNIQUE SCAN DEPT ID PK (cr=1 pr=0 pw=0 time=0 us cost=0 size=0 card=1)' STAT #2 id=4 cnt=1 pid=1 pos=2 obj=19139 op='TABLE ACCESS BY INDEX ROWID EMPLOYEES ( cr=2 pr=0 pw=0 time=0 us cost=1 size=22 card=1)' STAT #2 id=5 cnt=1 pid=4 pos=1 obj=19143 op='INDEX UNIQUE SCAN EMP EMP ID PK (cr=1 p r=0 pw=0 time=0 us cost=0 size=0 card=1)' Since the SQL statement had not been cached in the library cache the parse call incurs a cursor miss (mis=1).

GORM reads this as, For columns, the name property references column name_str. Changing the Primary Key Earlier versions of Grails provided no easy way of changing the primary key that the column goes off of. Even worse, you couldn t change the generation method. While this probably didn t affect smaller shops, it likely affected large companies, many of which demanded that DBAs use stored procedures or other techniques to generate a primary key. First, we ll go over how to change the generator, then we ll discuss how to change the primary key itself. By default, the generator uses the native implementation of the database. This could be an identity or a sequence, depending on the database. However, let s say you want to change it to use a high-low method of determining the number. You would add this entry to your mapping:

Basically the same thing is going on. The main difference is that we need to figure out which cells in the cache need to be filled out, and we need to find a safe order to do it in so that when we re about to calculate C[row,col], the cells C[row-1,col-1] and C[row-1,col] are already calculated. With the memoized function, we needn t worry about either issue: it will calculate whatever it needs recursively.

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